Data Science Expert

4 days ago

Kollam, Kerala, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Summary:

We are seeking a highly skilled Data Science Expert to join our team. The ideal candidate will have a strong background in advanced statistical modeling, machine learning algorithms, and deep learning techniques.

The selected candidate will be responsible for developing innovative AI & ML solutions across diverse business domains. This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making.

Your core responsibility will be to extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines.

Key Responsibilities:
  • Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques.
  • Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making.
  • Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy.
  • Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration.
  • Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness.
  • Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions.
  • Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions.
  • Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research.

Requirements:

  • Bachelors or master's degree in a quantitative field such as Computer Science, Engineering, Math, Physics, etc.
  • 5-12 years of experience in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques.
  • Proficiency in programming languages such as Python, R, and SQL.
  • Strong knowledge of cloud platforms, big data technologies, and database systems.
  • Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.

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